ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

AIM To explore the clinical effects of Qutan Jiangni Pingchuan Formula combined with Compound Ipratropium Bromide on patients with acute exacerbation of chronic obstructive pulmonary disease.METHODS One hundred and ten patients were randomly assigned into control group(55 cases)for 2-week intervention of both Compound Ipratropium Bromide and conventional treatment,and observation group(55 cases)for 2-week intervention of Qutan Jiangni Pingchuan Formula,Compound Ipratropium Bromide and conventional treatment.The changes in clinical effects,relevant scores(TCM syndrome score,mMRC grade,CAT score),disappearance time for clinical symptoms(cough,wheezing,pulmonary wheeze),airway inflammatory indices(sICAM-1,IL-8,MCP-1),pulmonary function indices(FEV1,PEF25,TLC),sputum indices(24 h sputum volume,sputum viscosity)and incidence of adverse reactions were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05),along with shorter disappearance time for clinical symptoms(P＜0.05).After the treatment,the two groups displayed decreased relevant scores,airway inflammatory indices,24 h sputum volume(P＜0.05),and increased pulmonary function indices(P＜0.05),especially for the observation group(P＜0.05);the observation group demonstrated elevated number of people with grade Ⅰ sputum viscosity(P＜0.05),which was more obvious than that in the control group(P＜0.05).No significant difference in incidence of adverse reactions was found between the two groups(P＞0.05).CONCLUSION For the patients with acute exacerbation of chronic obstructive pulmonary disease,Qutan Jiangni Pingchuan Formula combined with Compound Ipratropium Bromide can safely and effectively improve clinical symptoms,reduce inflammatory levels,enhance lung functions,and promote sputum secretion in airways.

Objective To elucidate the functional role and underlying mechanisms of the ribosome biogenesis factor BMS1 in neuroblastoma(NB)cellular proliferation.Methods We utilized the R2 genomics analysis and visualization platform to analyze the correlation between BMS1 expression levels and clinical characteristics of NB children.The BMS1 mRNA level in three human neuroblastoma cells SK-N-BE(2),BE(2)-C,IMR-32 and two normal cells hTERT RPE-1,IMR-90 was detected by real-time quantitative polymerase chain reaction(RT-qPCR).Two distinct small interfering RNA(siRNA)sequences were used to target BMS1 mRNA in NB cells SK-N-BE(2)and BE(2)-C,with normal cells hTERT RPE-1 serving as controls.We used RT-qPCR to quantify the mRNA levels of BMS1 and two key neuroblastoma-associated molecules(MYCN and p53).After transfection with siRNA,cellular proliferation was detected by various experimental approaches:crystal violet staining,real-time cell analysis(RTCA),colony-forming unit assay and immunofluorescence.Results By analyzing two independent neuroblastoma clinical cohorts(GSE85047/NRC-283 and Westermann-144 datasets),it was found that the BMS1 mRNA level in MYCN-amplified NB was significantly higher than that in MYCN-non-amplified NB(P<0.05).Furthermore,the overall survival rate of NB children in the BMS1 high-expression group was decreased(P<0.05).Consistent with these clinical observations,the BMS1 mRNA level in NB cells SK-N-BE(2),BE(2)-C and IMR-32 was significantly higher than that in normal cells hTERT RPE-1,IMR-90(P<0.05).The targeted transient knockdown of BMS1 in NB cell lines SK-N-BE(2)and BE(2)-C resulted in decreased intracellular MYCN mRNA expression levels(P<0.05),significantly reduced cell proliferation capacity and colony-forming ability(P<0.05).Immunofluorescence revealed that the expression of Ki-67,a proliferation marker,was decreased(P<0.05).At the molecular level,RT-qPCR showed that the p53 mRNA level was significantly elevated in the BMS1-knockdown groups(si BMS1-1#and si BMS1-2#)compared with the control group(P<0.05).However,transient knockdown of BMS1 had no significant impact on the proliferative capacity of normal cells hTERT RPE-1.Conclusion BMS1 expression was up-regulated in MYCN-amplified NB and negatively correlated with the prognosis of the NB children.Mechanistically,interfering with BMS1 expression may transcriptionally activate p53 in NB cells,thereby inhibiting their proliferative ability,while having minimal impact on normal cells growth kinetics.These findings suggest that BMS1 serves as an important proliferation driver in NB and is expected to be a promising therapeutic target for NB children,particularly MYCN-amplified pediatric patients.

The high cost,high loss and high increase of test reagents are the difficulties in the management of hospital health consumables.The case hospital to industry and financial integration mechanism,process reengineering theory as the basis for practicing reagent whole process cost control.Through effective data governance,a comparison relationship is established between revenue and expenditure.The standard cost method is utilized to identify potential areas for reduction,allowing for the determination of cost control targets.Subsequently,design process reengineering scheme and steps,so as to create a new reagent cost control process where hospital and enterprises work together,and a new method of cost settlement of fixed ratio of income and expenditure.Through dual-directional performance appraisal,the management results are solidified,enabling dual control and reduction of procurement costs and usage expenses.This approach enhances inspection efficiency,quality,and service while effectively mitigating associated risks.

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

Objective:To develop the Motivation for Bedtime Procrastination Questionnaire for College Students(CS-MBPQ)and evaluate its validity and reliability.Methods:Based on literature analysis,interviews with severe bedtime procrastinators,and open-ended surveys with college students,the initial questionnaire was formed.A total of 389 college students were recruited to conduct item analysis and exploratory factor analysis.Additionally,691 college students were selected for confirmatory factor analysis,criterion validity testing,and internal consistency reliability analysis,and 132 of them were retested two weeks later.The subscale of behav-ioral intention from the Theory of Planned Behavior Questionnaire(TPBQ),Bedtime Procrastination Scale(BPS),and a self-made question for the frequency of bedtime procrastination were used as criterion tools.Results:The CS-MBPQ consists of 10 items,encompassing three factors:emotional need,external influence,and behavioral attitude,explaining 63.31％of the variance.Confirmatory factor analysis indicated that the three-factor structure model of CS-MBPQ fitted well(x2/df=4.90,RMSEA=0.07,CFI=0.96,TLI=0.94).The CS-MBPQ total scores and scores for each factor were positively associated with the score of intentions to sleep on time,BPS scores,and bed-time procrastination frequency(ICC=0.14-0.53,Ps＜0.05).The internal consistency reliabilities for CS-MBPQ and the three factors were 0.87,0.89,0.74,and 0.66,respectively,and the test-retest reliabilities(ICC)were 0.74,0.66,0.69,and 0.58,respectively.Conclusion:The Motivation for Bedtime Procrastination Questionnaire for College Students(CS-MBPQ)demonstrates good validity and reliability,which could be used as a tool to evaluate motivations for bedtime procrastination among Chinese college students.

microRNA(miRNA),as a short non-coding RNA molecule,regulates bone-immune signal and stress response through transcription,translation as well as the combination of shear process,exerting the effect of promoting angiogenesis and repairing damage bone;type H vessels play a role in the cou-pling of angiogenesis and osteogenesis in the formation of new bone and promoting bone regeneration at the defect site.In re-cent years,miRNA regulates hypoxia inducible factor 1α(HIF-1 α)/vascular endothelial growth factor(VEGF),Notch,plate-let-derived growth factor-BB(PDGF-BB),Wnt/glycogen syn-thase kinase-3 β(GSK3 β)to affect the migration,recruitment,proliferation and differentiation of endothelial cells(ECs)and osteoblast(OB),promote the coupling of H-type vessels and os-teoblasts to improve bone homeostasis,and then prevent and treat bone metabolic diseases.This article explains the role of miRNA in regulating H-type vascular osteogenic coupling to provide tar-gets and pathways for improving bone homeostasis.In addition,the active ingredients of traditional Chinese medicine affect the differential expression of miRNA to promote H-type angiogenesis and provide strategies for clinical prevention and treatment of bone metabolic diseases.

Objective To develop a hypoxia endurance testing system for aviation physiological training of pilots.Methods The hypoxia endurance testing system comprised a low-oxygen mixed gas generator,a pressurization system for low-oxygen mixed gas and a personal breathing apparatus.The low-oxygen mixed gas generator consisted of a main unit composed of an air compressor,a filter,a buffer tank,polymer membrane,a control module,sensors and regulators,wire cables,supporting hoses,etc.;the pressurization system for low-oxygen mixed gas was made up of a protective box,a cooling fan,a motor and a driver,a control module,a solenoid valve,a convergence block,a pressure gauge,etc.;the personal breating apparatus was composed of a gas cylinder,a pressure reducer,an oxygen supply regulator,etc.Forty-eight subjects were selected for hypoxia exposure tests to verify the effectiveness of the system.Results The system developed had the functions of low-oxygen gas preparation,pressurized filling and hypoxia experiment,and the experimental results indicated the acute hypoxia exposure by the system significantly caused signs and symptoms of hypoxia and weakened physiological functions.Conclusion The system developed gains advantages in high accuracy of gas volume fraction control,safety and remarkable effect of simulated hypoxia,and can be an effective tool for acute high-altitude hypoxia testing and training of pilots.[Chinese Medical Equipment Journal,2025,46(10):23-28]

Objective To explore the differences in positive psychological resources among elementary and secondary school students with and without non-suicidal self-injury(NSSI)behaviors.Methods Between September and October 2023,the assessment data of 56 870 students aged 9 to 18 years in Chengdu,Sichuan Province were collected.The R software package was used to evaluate the network structure and symptom centrality,and the global strength and structural differences of the networks of students with and without NSSI behaviors in elementary,junior high,and senior high schools were compared.Results The prevalence of NSSI among elementary and secondary school students stands at 12.21%.Specifically,it peaks in junior high school students,reaching 14.22%,followed by that in senior middle school students at 13.66%,and is lowest in elementary school students at 10.17%.Regarding the network structure in elementary school students,irrespective of the presence or absence of NSSI behavior,subjective support exhibits the strongest network strength,and family functioning demonstrates the highest closeness centrality.Among junior high school students without NSSI behaviors,the strongest network strength was observed in subjective support,whereas for those with NSSI behaviors,self-esteem showed the strongest network strength.In addition,subjective support exhibited the highest closeness centrality in both groups.In senior high school students,self-esteem was the factor with the strongest network strength for students with or without NSSI behaviors.For senior high school students without NSSI,subjective support had the highest closeness centrality,while for those with NSSI,expressive suppression showed the highest closeness centrality.The edge weights differed significantly among elementary school students in family functioning-self-esteem(E=0.093)and family functioning-objective support(E=0.087).For junior high school students,significant differences were found in objective support-subjective support(E=0.131)and family functioning-impulse control(E=0.109).Among senior high school students,significant differences were observed in impulse control-family function(E=0.133)and subjective support-utilization of support(E=0.130)(P<0.05).Conclusion Excessive family involvement in elementary school students and expressive suppression in senior high school students may be important influencing factors for NSSI behaviors.The lack of social support has a greater impact on junior and senior high school students.The strength of the connection among subjective support,objective support,and utilization of support is an important indicator.